Literature DB >> 27980047

Practical Immuno-PET Radiotracer Design Considerations for Human Immune Checkpoint Imaging.

Aaron T Mayer1,2, Arutselvan Natarajan2, Sydney R Gordon3,4,5,6, Roy L Maute3,4,5,6, Melissa N McCracken3,4,5,6, Aaron M Ring7, Irving L Weissman3,4,5,6, Sanjiv S Gambhir8,2,9.   

Abstract

Immune checkpoint blockade has emerged as a promising cancer treatment paradigm. Unfortunately, there are still a large number of patients and malignancies that do not respond to therapy. A major barrier to validating biomarkers for the prediction and monitoring of responders to clinical checkpoint blockade has been the lack of imaging tools to accurately assess dynamic immune checkpoint expression. Here, we sought to optimize noninvasive immuno-PET imaging of human programmed death-ligand 1 (PD-L1) expression, in a preclinical model, using a small high-affinity engineered protein scaffold (HAC-PD1). Six HAC-PD1 radiotracer variants were developed and used in preclinical imaging and biodistribution studies to assess their ability to detect human PD-L1 expression in vivo. Radiotracer design modifications included chelate, glycosylation, and radiometal. HACA-PD1 was adopted as the naming convention for aglycosylated tracer variants. NOD scid γ-(NSG) mice were inoculated with subcutaneous tumors engineered to either be constitutively positive (CT26 hPD-L1) or be negative (ΔmPD-L1 CT26) for human PD-L1 expression. When the tumors had grown to an average size of 1 cm in diameter, mice were injected with 0.75-2.25 MBq (∼10 μg) of an engineered radiotracer variant and imaged. At 1 h after injection, organs were harvested for biodistribution. Of the practical immuno-PET tracer modifications considered, glycosylation was the most prominent design factor affecting tracer uptake, specificity, and clearance. In imaging studies, aglycosylated 64Cu-NOTA-HACA-PD1 most accurately visualized human PD-L1 expression in vivo. We reasoned that because of the scaffold's small size (14 kDa), its pharmacokinetics may be suitable for labeling with the short-lived and widely clinically available radiometal 68Ga. At 1 h after injection, 68Ga-NOTA-HACA-PD1 and 68Ga-DOTA-HACA-PD1 exhibited promising target-to-background ratios in ex vivo biodistribution studies (12.3 and 15.2 tumor-to-muscle ratios, respectively). Notably, all HAC-PD1 radiotracer variants enabled much earlier detection of human PD-L1 expression (1 h after injection) than previously reported radiolabeled antibodies (>24 h after injection). This work provides a template for assessing immuno-PET tracer design parameters and supports the translation of small engineered protein radiotracers for imaging human immune checkpoints.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  PD-1; PD-L1; cancer immunotherapy; checkpoint blockade; immunoPET

Mesh:

Substances:

Year:  2016        PMID: 27980047      PMCID: PMC5373501          DOI: 10.2967/jnumed.116.177659

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  33 in total

1.  Noninvasive Imaging of Tumor PD-L1 Expression Using Radiolabeled Anti-PD-L1 Antibodies.

Authors:  Sandra Heskamp; Willemijn Hobo; Janneke D M Molkenboer-Kuenen; Daniel Olive; Wim J G Oyen; Harry Dolstra; Otto C Boerman
Journal:  Cancer Res       Date:  2015-05-14       Impact factor: 12.701

Review 2.  Prognostic and predictive markers for the new immunotherapies.

Authors:  Kathleen M Mahoney; Michael B Atkins
Journal:  Oncology (Williston Park)       Date:  2014-11       Impact factor: 2.990

3.  Programmed Death-1 Ligand-1 (PDL1) Expression Is Associated with the Prognosis of Patients with Stage II/III Gastric Cancer.

Authors:  Tatsuro Tamura; Masaichi Ohira; Hiroaki Tanaka; Kazuya Muguruma; Takahiro Toyokawa; Naoshi Kubo; Katsunobu Sakurai; Ryosuke Amano; Kenjiro Kimura; Masatsune Shibutani; Kiyoshi Maeda; Kosei Hirakawa
Journal:  Anticancer Res       Date:  2015-10       Impact factor: 2.480

Review 4.  Clinical blockade of PD1 and LAG3--potential mechanisms of action.

Authors:  Linh T Nguyen; Pamela S Ohashi
Journal:  Nat Rev Immunol       Date:  2015-01       Impact factor: 53.106

5.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

6.  A Threshold Level of Intratumor CD8+ T-cell PD1 Expression Dictates Therapeutic Response to Anti-PD1.

Authors:  Shin Foong Ngiow; Arabella Young; Nicolas Jacquelot; Takahiro Yamazaki; David Enot; Laurence Zitvogel; Mark J Smyth
Journal:  Cancer Res       Date:  2015-07-24       Impact factor: 12.701

7.  Programmed cell death ligand 1 (PD-L1) expression on gastric cancer and its relationship with clinicopathologic factors.

Authors:  Lin Zhang; Miaozhen Qiu; Ying Jin; Jiao Ji; Baoxia Li; Xueping Wang; Shumei Yan; Ruihua Xu; Dajun Yang
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01

Review 8.  Challenges of phase 1 clinical trials evaluating immune checkpoint-targeted antibodies.

Authors:  S Postel-Vinay; S Aspeslagh; E Lanoy; C Robert; J-C Soria; A Marabelle
Journal:  Ann Oncol       Date:  2015-11-16       Impact factor: 32.976

9.  Nivolumab plus ipilimumab in advanced melanoma.

Authors:  Jedd D Wolchok; Harriet Kluger; Margaret K Callahan; Michael A Postow; Naiyer A Rizvi; Alexander M Lesokhin; Neil H Segal; Charlotte E Ariyan; Ruth-Ann Gordon; Kathleen Reed; Matthew M Burke; Anne Caldwell; Stephanie A Kronenberg; Blessing U Agunwamba; Xiaoling Zhang; Israel Lowy; Hector David Inzunza; William Feely; Christine E Horak; Quan Hong; Alan J Korman; Jon M Wigginton; Ashok Gupta; Mario Sznol
Journal:  N Engl J Med       Date:  2013-06-02       Impact factor: 91.245

10.  Prognostic impact of programmed cell death-1 (PD-1) and PD-ligand 1 (PD-L1) expression in cancer cells and tumor-infiltrating lymphocytes in ovarian high grade serous carcinoma.

Authors:  Silvia Darb-Esfahani; Catarina Alisa Kunze; Hagen Kulbe; Jalid Sehouli; Stephan Wienert; Judith Lindner; Jan Budczies; Michael Bockmayr; Manfred Dietel; Carsten Denkert; Ioana Braicu; Korinna Jöhrens
Journal:  Oncotarget       Date:  2016-01-12
View more
  46 in total

1.  Constrained Combinatorial Libraries of Gp2 Proteins Enhance Discovery of PD-L1 Binders.

Authors:  Max A Kruziki; Vidur Sarma; Benjamin J Hackel
Journal:  ACS Comb Sci       Date:  2018-06-05       Impact factor: 3.784

Review 2.  The Immunoimaging Toolbox.

Authors:  Aaron T Mayer; Sanjiv S Gambhir
Journal:  J Nucl Med       Date:  2018-05-24       Impact factor: 10.057

3.  Characterization of a switchable chimeric antigen receptor platform in a pre-clinical solid tumor model.

Authors:  Elham Pishali Bejestani; Marc Cartellieri; Ralf Bergmann; Armin Ehninger; Simon Loff; Michael Kramer; Johannes Spehr; Antje Dietrich; Anja Feldmann; Susann Albert; Martin Wermke; Michael Baumann; Mechthild Krause; Martin Bornhäuser; Gerhard Ehninger; Michael Bachmann; Malte von Bonin
Journal:  Oncoimmunology       Date:  2017-06-20       Impact factor: 8.110

4.  Targeting the C-terminus of galectin-9 induces mesothelioma apoptosis and M2 macrophage depletion.

Authors:  Pietro Bertino; Thomas A Premeaux; Tsuyoshi Fujita; Brien K Haun; Michael P Marciel; Fukun W Hoffmann; Alan Garcia; Haining Yiang; Sandra Pastorino; Michele Carbone; Toshiro Niki; John Berestecky; Peter R Hoffmann; Lishomwa C Ndhlovu
Journal:  Oncoimmunology       Date:  2019-04-17       Impact factor: 8.110

Review 5.  Imaging-based Biomarkers for Predicting and Evaluating Cancer Immunotherapy Response.

Authors:  Minghao Wu; Yanyan Zhang; Yuwei Zhang; Ying Liu; Mingjie Wu; Zhaoxiang Ye
Journal:  Radiol Imaging Cancer       Date:  2019-11-29

6.  ImmunoPET, [64Cu]Cu-DOTA-Anti-CD33 PET-CT, Imaging of an AML Xenograft Model.

Authors:  Sargur Madabushi Srideshikan; Jamison Brooks; Darren Zuro; Bijender Kumar; James Sanchez; Liliana Echavarria Parra; Marvin Orellana; Paresh Vishwasrao; Indu Nair; Junie Chea; Kofi Poku; Nicole Bowles; Aaron Miller; Todd Ebner; Justin Molnar; Joseph Rosenthal; Daniel A Vallera; Jeffrey Y C Wong; Anthony S Stein; David Colcher; John E Shively; Paul J Yazaki; Susanta K Hui
Journal:  Clin Cancer Res       Date:  2019-09-23       Impact factor: 12.531

Review 7.  Imaging of Cancer Immunotherapy: Current Approaches and Future Directions.

Authors:  Mizuki Nishino; Hiroto Hatabu; F Stephen Hodi
Journal:  Radiology       Date:  2018-11-20       Impact factor: 11.105

8.  In Vivo Evaluation and Dosimetry Estimate for a High Affinity Affibody PET Tracer Targeting PD-L1.

Authors:  Daniel J Rubins; Xiangjun Meng; Paul McQuade; Michael Klimas; Krista Getty; Shu-An Lin; Brett M Connolly; Stacey S O'Malley; Hyking Haley; Mona Purcell; Liza Gantert; Marie Holahan; Joel Lindgren; Pär Eklund; Caroline Ekblad; Fredrik Y Frejd; Eric D Hostetler; Dinko E González Trotter; Jeffrey L Evelhoch
Journal:  Mol Imaging Biol       Date:  2020-10-23       Impact factor: 3.488

9.  ImmunoPET: Concept, Design, and Applications.

Authors:  Weijun Wei; Zachary T Rosenkrans; Jianjun Liu; Gang Huang; Quan-Yong Luo; Weibo Cai
Journal:  Chem Rev       Date:  2020-03-23       Impact factor: 60.622

Review 10.  Imaging of Precision Therapy for Lung Cancer: Current State of the Art.

Authors:  Hyesun Park; Lynette M Sholl; Hiroto Hatabu; Mark M Awad; Mizuki Nishino
Journal:  Radiology       Date:  2019-08-06       Impact factor: 11.105

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.